基于双层规划模型的制造业选址布局优化方法研究

经济全球化趋势和全球多式联运网络的形成推动了资源的自由流通和优化配置,改变了制造产业的空间分布形态.本文针对经济全球化背景下制造产业的选址优化问题,提出选址优化与分布-分配相结合的双层规划模型.在模型中运输网络被拆分成原材料运输网络和产品运输网络,上层模型用于确定产业的选址方案和原材料及产品流量的OD矩阵,下层模型用于计算OD流量在运输网络中的交通流特征.为求解模型,设计遗传算法和Frank-Wolfe算法相结合的启发式求解算法,并以中国钢铁制造产业的选址为例验证模型的可行性.结果表明该方法具有实用性,可以有效帮助决策者实施制造产业的选址决策.

Optimization method for location and distribution of manufacturing industry based on the bi-level programming model

The development of economic globalization and the intermodal transport network promote the flow and rational allocation of resources, which changes the spatial distribution of manufacturing industries. This paper aims to optimize the location of manufacturing industries in the context of economic globalization and proposes a bi-level programming model to integrate the location optimization model with traffic distribution and assignment model. In the model, the transport network is divided into the sub-networks of raw materials and products respectively. The upper-level model is used to determine the location of industries and the OD matrices of raw materials and products. The lower-level model is used to calculate the attributes of traffic flow under given OD matrices. To solve the model, the heuristic algorithm that consists of both the genetic algorithm and Frank-Wolfe algorithm is designed. The proposed method is tested using the Chinese steel manufacturing industry as an example. The result indicates that the proposed method could help the decision-makers to implement the location decisions for the manufacturing industries effectively.